Stochastic (S[ARIMA]), shallow (NARnet, NAR-GMDH, OS-ELM), and deep learning (LSTM, Stacked-LSTM, CNN-GRU) models, application to river flow forecasting
Marwan Kheimi, Mohammad Almadani, Mohammad Zounemat‐Kermani
Topics & Concepts
Autoregressive integrated moving averageArtificial intelligenceStreamflowMean squared errorDeep learningComputer scienceMachine learningStage (stratigraphy)Flow (mathematics)Hydrology (agriculture)Time seriesGeologyStatisticsMathematicsGeographyGeotechnical engineeringCartographyDrainage basinGeometryPaleontologyHydrological Forecasting Using AIHydrology and Watershed Management StudiesFlood Risk Assessment and Management